This course sequence teaches the pathophysiology of common diseases of the nervous system (including visual, auditory, and...
see more

This course sequence teaches the pathophysiology of common diseases of the nervous system (including visual, auditory, and vestibular systems), and the general principles underlying diagnosis and management. The specific goals are: To review clinically relevant neuroanatomy and neurophysiology. To learn a systematic approach to the localization of neurologic lesions. To learn a systematic approach for determining the likely general category of disease process responsible for a patientâ€™s symptoms and signs, based primarily on localization and time course. To learn about some common symptom complexes and diseases of the nervous system, (including visual, auditory, and vestibular systems) with respect to clinical features, pathology, pathophysiology, approach to diagnosis, and approach to management.

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time

Edit the information about the material in this {0}

Submitting Bookmarks...

Select this link to open drop down to add material M2 Neurosciences- Sample Test Questions: Hearing Loss from a Family Doc's Standpoint to your Bookmark Collection or Course ePortfolio

Select this link to close drop down of your Bookmark Collection or Course ePortfolio for material M2 Neurosciences- Sample Test Questions: Hearing Loss from a Family Doc's Standpoint

Select this link to open drop down to add material M2 Neurosciences- Sample Test Questions: Hearing Loss from a Family Doc's Standpoint to your Bookmark Collection or Course ePortfolio

This sequence introduces students to clinical psychiatry. The sequence focuses on the clinical diagnosis and treatment of...
see more

This sequence introduces students to clinical psychiatry. The sequence focuses on the clinical diagnosis and treatment of psychiatric disorders, with those elements of neurobiology, behavioral science, and pharmacology that are essential to the understanding of these disorders.

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time

Edit the information about the material in this {0}

Submitting Bookmarks...

Select this link to open drop down to add material M2 Psychiatry- Small Group Session: Mental Status Exam to your Bookmark Collection or Course ePortfolio

Select this link to close drop down of your Bookmark Collection or Course ePortfolio for material M2 Psychiatry- Small Group Session: Mental Status Exam

Select this link to open drop down to add material M2 Psychiatry- Small Group Session: Mental Status Exam to your Bookmark Collection or Course ePortfolio

This sequence introduces students to clinical psychiatry. The sequence focuses on the clinical diagnosis and treatment of...
see more

This sequence introduces students to clinical psychiatry. The sequence focuses on the clinical diagnosis and treatment of psychiatric disorders, with those elements of neurobiology, behavioral science, and pharmacology that are essential to the understanding of these disorders.

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time

Edit the information about the material in this {0}

Submitting Bookmarks...

Select this link to open drop down to add material M2 Psychiatry- Small Group Session: Mental Status Exam Topic Page to your Bookmark Collection or Course ePortfolio

Select this link to close drop down of your Bookmark Collection or Course ePortfolio for material M2 Psychiatry- Small Group Session: Mental Status Exam Topic Page

Select this link to open drop down to add material M2 Psychiatry- Small Group Session: Mental Status Exam Topic Page to your Bookmark Collection or Course ePortfolio

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of...
see more

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of Information. The course covers topics in network analysis, from social networks to applications in information networks such as the Internet. I will introduce basic concepts in network theory, discuss metrics and models, use software analysis tools to experiment with a wide variety of real-world network data, and study applications to areas such as information retrieval. As a network scientist I think networks are fun to talk about, but they are even more fun to play with. Therefore, labs are an integral part of this course. In addition to providing background material, the labs and the demos offer ample opportunity for learners to get hands-on with interactive demonstrations, real-world data sets, and a dizzying array of tools (Pajek, Guess, NetLogo, and others). Experimenting in the labs will enable learners to get much more out of this course than simply reading the lectures and other materials. The labs are also designed to bring you up to speed with the skills you need to do the assignments. Another important part of the course is the final group project, in which students take the concepts they learned and apply them to networks that they select. Although I can offer little guidance on anyone's individual project through this open format, I hope that the assignments will expose people to different techniques one can apply and various questions to explore. This showcase of student projects from past years should provide some inspiration. - Lada Adamic

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of...
see more

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of Information. The course covers topics in network analysis, from social networks to applications in information networks such as the Internet. I will introduce basic concepts in network theory, discuss metrics and models, use software analysis tools to experiment with a wide variety of real-world network data, and study applications to areas such as information retrieval. As a network scientist I think networks are fun to talk about, but they are even more fun to play with. Therefore, labs are an integral part of this course. In addition to providing background material, the labs and the demos offer ample opportunity for learners to get hands-on with interactive demonstrations, real-world data sets, and a dizzying array of tools (Pajek, Guess, NetLogo, and others). Experimenting in the labs will enable learners to get much more out of this course than simply reading the lectures and other materials. The labs are also designed to bring you up to speed with the skills you need to do the assignments. Another important part of the course is the final group project, in which students take the concepts they learned and apply them to networks that they select. Although I can offer little guidance on anyone's individual project through this open format, I hope that the assignments will expose people to different techniques one can apply and various questions to explore. This showcase of student projects from past years should provide some inspiration. - Lada Adamic

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of...
see more

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of Information. The course covers topics in network analysis, from social networks to applications in information networks such as the Internet. I will introduce basic concepts in network theory, discuss metrics and models, use software analysis tools to experiment with a wide variety of real-world network data, and study applications to areas such as information retrieval. As a network scientist I think networks are fun to talk about, but they are even more fun to play with. Therefore, labs are an integral part of this course. In addition to providing background material, the labs and the demos offer ample opportunity for learners to get hands-on with interactive demonstrations, real-world data sets, and a dizzying array of tools (Pajek, Guess, NetLogo, and others). Experimenting in the labs will enable learners to get much more out of this course than simply reading the lectures and other materials. The labs are also designed to bring you up to speed with the skills you need to do the assignments. Another important part of the course is the final group project, in which students take the concepts they learned and apply them to networks that they select. Although I can offer little guidance on anyone's individual project through this open format, I hope that the assignments will expose people to different techniques one can apply and various questions to explore. This showcase of student projects from past years should provide some inspiration. - Lada Adamic

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time

Edit the information about the material in this {0}

Submitting Bookmarks...

Select this link to open drop down to add material SI 508 Networks: Theory and Application- Fall 2008 Midterm to your Bookmark Collection or Course ePortfolio

Select this link to close drop down of your Bookmark Collection or Course ePortfolio for material SI 508 Networks: Theory and Application- Fall 2008 Midterm

Select this link to open drop down to add material SI 508 Networks: Theory and Application- Fall 2008 Midterm to your Bookmark Collection or Course ePortfolio

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of...
see more

SI 508 has been taught in various forms from 2006 to 2008 to masterâ€™s students at the University of Michigan School of Information. The course covers topics in network analysis, from social networks to applications in information networks such as the Internet. I will introduce basic concepts in network theory, discuss metrics and models, use software analysis tools to experiment with a wide variety of real-world network data, and study applications to areas such as information retrieval. As a network scientist I think networks are fun to talk about, but they are even more fun to play with. Therefore, labs are an integral part of this course. In addition to providing background material, the labs and the demos offer ample opportunity for learners to get hands-on with interactive demonstrations, real-world data sets, and a dizzying array of tools (Pajek, Guess, NetLogo, and others). Experimenting in the labs will enable learners to get much more out of this course than simply reading the lectures and other materials. The labs are also designed to bring you up to speed with the skills you need to do the assignments. Another important part of the course is the final group project, in which students take the concepts they learned and apply them to networks that they select. Although I can offer little guidance on anyone's individual project through this open format, I hope that the assignments will expose people to different techniques one can apply and various questions to explore. This showcase of student projects from past years should provide some inspiration. - Lada Adamic

Pick a Bookmark Collection or Course ePortfolio to put this material in or scroll to the bottom to create a new Bookmark Collection

Name the Bookmark Collection to represent the materials you will add

Describe the Bookmark Collection so other MERLOT users will know what it contains and if it has value for their work or teaching. Other users can copy your Bookmark Collection to their own profile and modify it to save time